PCA Index Interactive Visualization Examples

PCA Index Interactive Visualization Examples#

import plotly.express as px

import config
import load_fred
import pca_index

DATA_DIR = config.DATA_DIR
df = load_fred.load_fred(data_dir=DATA_DIR)
dfn = pca_index.transform_series(df)
/home/runner/work/my_first_website/my_first_website/src/pca_index.py:31: FutureWarning:

The default fill_method='pad' in Series.pct_change is deprecated and will be removed in a future version. Either fill in any non-leading NA values prior to calling pct_change or specify 'fill_method=None' to not fill NA values.

/home/runner/work/my_first_website/my_first_website/src/pca_index.py:32: FutureWarning:

The default fill_method='pad' in Series.pct_change is deprecated and will be removed in a future version. Either fill in any non-leading NA values prior to calling pct_change or specify 'fill_method=None' to not fill NA values.
## Visualize Principal Component 1
pc1, loadings = pca_index.pca(dfn, module="scikitlearn")
pc1.plot();
../_images/2be2331378a96ee1c9cf8b4e643ea3f0fa4cfcbd26e4da1b7725db6f7cb16d4f.png
# Simple version
fig = px.line(pc1)
fig.show()
# Using slider and quick views
pca_index.pc1_line_plot(pc1)
## Visualize normalized and raw series
dfn.plot(subplots=True, figsize=(10, 10));
../_images/3dd6f1bb5d39e294829b9dd9acb8be0b2494441a991937fe6f36f2d053548748.png
fig = px.line(dfn, facet_col="variable", facet_col_wrap=1)
fig.update_yaxes(matches=None)
fig.show()
pca_index.plot_unnormalized_series(df)
pca_index.plot_normalized_series(dfn)